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dc.contributor.authorGisnås, Kjersti
dc.date.accessioned2023-07-31T09:01:06Z
dc.date.available2023-07-31T09:01:06Z
dc.date.issued2020-06-26
dc.identifier.urihttps://hdl.handle.net/11250/3081908
dc.description.abstractQuantification of release probabilities in local avalanche forecasting are depending on knowledge of historical weather characteristics as well as detailed knowledge of the wind driven snow distribution on a fine scale. In WP5 we have computed extreme weather statistics for snow and other related parameters for historical and future climates at 1 km2 resolution (2), and prepared gridded regional scale wind data for use in statistics together with historical gridded data (3). Within each 1x1 km grid cell wind is the dominant factor determining snow distribution in the terrain. Simple terrain indexes as well as a complex fluid dynamic (CFD) model have been tested and evaluated with respect to performance in modelling wind fields (4), determine snow distribution (4.7) and potential release areas (4.8). Several scripts and tools have been developed along this study with the aim of establishing an improved toolbox for avalanche forecasting on a local scale.en_US
dc.description.sponsorshipNorges vassdrags- og energidirektoraten_US
dc.language.isoengen_US
dc.publisherNorges Geotekniske Institutten_US
dc.relation.ispartofseriesNGI-rapport;20170131-19-TN
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.subjectAvalanche-RnDen_US
dc.subjectSnøskred-FoUen_US
dc.subjectWind Simulationen_US
dc.subjectSnow Distributionen_US
dc.subjectWindsimen_US
dc.subjectWinstralen_US
dc.titleWind simulations for use in local avalanche forecastingen_US
dc.typeResearch reporten_US
dc.source.pagenumber28en_US
dc.relation.projectSP4 FoU Snøskred 2017-2019en_US


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Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal